Curriculum Learning for Natural Language Understanding. - Benfeng Xu; Licheng Zhang; Zhendong Mao 001; Quan Wang 002; Hongtao Xie; Yongdong Zhang 001 (ACL, 2020)

Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. - Benfeng Xu; Quan Wang 002; Yajuan Lyu; Yong Zhu 004; Zhendong Mao 001 (AAAI, 2021)

Building Chinese Biomedical Language Models via Multi-Level Text Discrimination. - Quan Wang 002; Songtai Dai; Benfeng Xu; Yajuan Lyu; Yong Zhu 004; Hua Wu 003; Haifeng Wang 001 (CoRR, 2021)

Review and Arrange: Curriculum Learning for Natural Language Understanding. - Licheng Zhang; Zhendong Mao 001; Benfeng Xu; Quan Wang 002; Yongdong Zhang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction. - Wei Tang 015; Benfeng Xu; Yuyue Zhao; Zhendong Mao 001; Yifeng Liu 002; Yong Liao; Haiyong Xie 001 (EMNLP, 2022)

EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction. - Benfeng Xu; Quan Wang 002; Yajuan Lyu; Yabing Shi; Yong Zhu 004; Jie Gao; Zhendong Mao 001 (NAACL-HLT, 2022)

S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction. - Benfeng Xu; Quan Wang 002; Yajuan Lyu; Dai Dai; Yongdong Zhang 001; Zhendong Mao 001 (ACL (1), 2023)

On the Calibration of Large Language Models and Alignment. - Chiwei Zhu; Benfeng Xu; Quan Wang 002; Yongdong Zhang 001; Zhendong Mao 001 (EMNLP (Findings), 2023)

Modaldrop: Modality-Aware Regularization for Temporal-Spectral Fusion in Human Activity Recognition. - Xin Zeng; Yiqiang Chen 001; Benfeng Xu; Tengxiang Zhang (ICASSP, 2023)

$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference. - Benfeng Xu; Quan Wang 002; Zhendong Mao 001; Yajuan Lyu; Qiaoqiao She; Yongdong Zhang 001 (ICLR, 2023)

Retrieval-Augmented Domain Adaptation of Language Models. - Benfeng Xu; Chunxu Zhao; Wenbin Jiang 002; Pengfei Zhu; Songtai Dai; Chao Pang; Zhuo Sun; Shuohuan Wang; Yu Sun 029 (RepL4NLP@ACL, 2023)

kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference. - Benfeng Xu; Quan Wang 002; Zhendong Mao 001; Yajuan Lyu; Qiaoqiao She; Yongdong Zhang 001 (CoRR, 2023)

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts. - Benfeng Xu; An Yang; Junyang Lin; Quan Wang 002; Chang Zhou; Yongdong Zhang 001; Zhendong Mao 001 (CoRR, 2023)

Qwen Technical Report. - Jinze Bai; Shuai Bai; Yunfei Chu; Zeyu Cui; Kai Dang; Xiaodong Deng; Yang Fan; Wenbin Ge; Yu Han; Fei Huang 005; Binyuan Hui; Luo Ji; et al. (CoRR, 2023)

Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning. - Shengguang Wu; Keming Lu; Benfeng Xu; Junyang Lin; Qi Su 001; Chang Zhou (CoRR, 2023)

Benchmarking Large Language Models on Controllable Generation under Diversified Instructions. - Yihan Chen; Benfeng Xu; Quan Wang 002; Yi Liu; Zhendong Mao 001 (AAAI, 2024)

Disentangled Learning with Synthetic Parallel Data for Text Style Transfer. - Jingxuan Han; Quan Wang 002; Zikang Guo; Benfeng Xu; Licheng Zhang; Zhendong Mao 001 (ACL (1), 2024)

KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction. - Jianshang Kou; Benfeng Xu; Chiwei Zhu; Zhendong Mao 001 (EMNLP, 2024)

USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings. - Zikang Guo; Kaijie Jiao; Xingyu Yao; Yuning Wan; Haoran Li; Benfeng Xu; Licheng Zhang; Quan Wang 002; Yongdong Zhang 001; Zhendong Mao 001 (SemEval@NAACL, 2024)

Curriculum Learning Driven Domain Adaptation for Low-Resource Machine Reading Comprehension. - Licheng Zhang; Quan Wang 002; Benfeng Xu; Yi Liu; Zhendong Mao 001 (IEEE Signal Process. Lett., 2024)

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding. - Chiwei Zhu; Benfeng Xu; Xiaorui Wang; Zhendong Mao 001 (ACL (1), 2025)

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability. - Chiwei Zhu; Benfeng Xu; An Yang; Junyang Lin; Quan Wang 002; Chang Zhou; Zhendong Mao 001 (ACL (Findings), 2025)

CMI-AIGCX at GenAI Detection Task 2: Leveraging Multilingual Proxy LLMs for Machine-Generated Text Detection in Academic Essays. - Kaijie Jiao; Xingyu Yao; Shixuan Ma; Sifan Fang; Zikang Guo; Benfeng Xu; Licheng Zhang; Quan Wang 002; Yongdong Zhang 001; Zhendong Mao 001 (COLING Workshops, 2025)

Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach. - Ruizhe Li; Chiwei Zhu; Benfeng Xu; Xiaorui Wang; Zhendong Mao 001 (CoRR, 2025)

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking. - Yihan Chen; Benfeng Xu; Xiaorui Wang; Yongdong Zhang 001; Zhendong Mao 001 (CoRR, 2025)

MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learning. - Zikang Guo; Benfeng Xu; Xiaorui Wang; Zhendong Mao 001 (CoRR, 2025)

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents. - Mingxuan Du; Benfeng Xu; Chiwei Zhu; Xiaorui Wang; Zhendong Mao 001 (CoRR, 2025)